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  1. d2_log_loss_score — scikit-learn 1.7.0 document...

    sample_weight = None , labels = None ) [source] # \(D^2\)...default=None Sample weights. labels array-like, default=None If...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html
    Mon Jun 30 13:50:28 UTC 2025
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  2. consensus_score — scikit-learn 1.7.0 documentation

    similarity = 'jaccard' ) [source] # The similarity...‘jaccard’ or callable, default=’jaccard’ May be the string “jaccard”...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.consensus_score.html
    Mon Jun 30 13:50:27 UTC 2025
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  3. Quantile regression — scikit-learn 1.7.0 docume...

    linspace ( start = 0 , stop = 10 , num = 100 ) X = x [:, np . newaxis...axs = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 15...
    scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html
    Mon Jun 30 13:50:30 UTC 2025
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  4. eclipse-location-copyrename-snapshot.png

    17639795 width=1564, height=720, bitDepth=8, colorType=RGBAlpha, ...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/data/snapshot/friends/eclipse/install/eclipse-location-copyrename-snapshot.png
    Fri Jun 13 09:55:27 UTC 2025
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  5. Outlier detection on a real data set — scikit-l...

    contamination = 0.25 ), "OCSVM" : OneClassSVM ( nu = 0.25 , gamma = 0.35..., levels = [ 0 ], colors = color , ax = ax , ) legend_lines ....
    scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html
    Mon Jun 30 13:50:30 UTC 2025
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  6. Connecting the Dots: ES|QL Joins for Richer Obs...

    level == "error" | WHERE service.name == "opbeans-ruby"...WHERE log.level == "error" | WHERE service.name == "opbeans-ruby"...
    www.elastic.co/observability-labs/blog/elastic-esql-join-observability
    Wed Jun 18 01:08:42 UTC 2025
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  7. Explicit feature map approximation for RBF kern...

    kernel_svm = svm . SVC ( gamma = 0.2 ) linear_svm = svm . LinearSVC...feature_map_fourier = RBFSampler ( gamma = 0.2 , random_state = 1 ) feature_map_nystroem...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html
    Mon Jun 30 13:50:30 UTC 2025
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  8. Effect of transforming the targets in regressio...

    y = make_regression ( n_samples = 10_000 , noise = 100 ,...ax1 ) = plt . subplots ( 1 , 2 , sharey = True ) ridge_cv = RidgeCV...
    scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html
    Mon Jun 30 13:50:30 UTC 2025
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  9. RocCurveDisplay — scikit-learn 1.7.0 documentation

    ( fpr = fpr , tpr = tpr , roc_auc = roc_auc , ... name = 'example...pos_label = None , ax = None , name = None , curve_kwargs = None ,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html
    Mon Jun 30 13:50:27 UTC 2025
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  10. Novelty detection with Local Outlier Factor (LO...

    X_outliers = np . random . uniform ( low =- 4 , high = 4 , size = ( 20...1 ], c = "blueviolet" , s = s , edgecolors = "k" ) c = plt . scatter...
    scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html
    Mon Jun 30 13:50:27 UTC 2025
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